Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/139945
Citations
Scopus Web of Science® Altmetric
?
?
Full metadata record
DC FieldValueLanguage
dc.contributor.authorHao, Z.-
dc.contributor.authorCook, K.-
dc.contributor.authorCanning, J.-
dc.contributor.authorChen, H.T.-
dc.contributor.authorMartelli, C.-
dc.date.issued2020-
dc.identifier.citationIEEE Sensors Letters, 2020; 4(1):1-4-
dc.identifier.issn2475-1472-
dc.identifier.issn2475-1472-
dc.identifier.urihttps://hdl.handle.net/2440/139945-
dc.description.abstractThis article reports a 3-D printing intelligent insole gait monitoring system based on an embedded fiber Bragg grating (FBG). The smart insole combines 3-D printing technology and FBG sensors providing high sensitivity and endpoint low cost. Results using pressure points measured by four FBGs are sufficient to differentiate foot loads and gait types.-
dc.description.statementofresponsibilityZhongyang Hao, Kevin Cook, John Canning, Hsiang-Ting Chen, and Cicero Martelli-
dc.language.isoen-
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)-
dc.rights© 2019 IEEE.-
dc.source.urihttp://dx.doi.org/10.1109/lsens.2019.2962270-
dc.subjectSensor integration; fiber bragg gratings (FBGs) 3-D printing-
dc.title3-D printed smart orthotic insoles: Monitoring a person's gait step by step-
dc.typeJournal article-
dc.identifier.doi10.1109/LSENS.2019.2962270-
dc.relation.granthttp://purl.org/au-research/grants/arc/LE100100082-
pubs.publication-statusPublished-
dc.identifier.orcidChen, H.T. [0000-0003-0873-2698]-
Appears in Collections:Computer Science publications

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.